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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 3780
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    Explanations

    references to the word "Bird" in different contexts and mentions

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Bird" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FINE
    -0.82
    untled
    -0.80
    ilitary
    -0.79
    bered
    -0.76
    oldemort
    -0.75
    ensions
    -0.74
     unregulated
    -0.72
     Pradesh
    -0.72
    idency
    -0.70
    ension
    -0.69
    POSITIVE LOGITS
    bird
    1.12
    bats
    1.04
    birds
    1.02
    seed
    0.99
    zilla
    0.98
    hawk
    0.96
    watching
    0.94
    bath
    0.92
     Bird
    0.90
    walk
    0.88
    Activations Density 0.010%

    No Known Activations